Heart Steps: Adaptive mHealth intervention for physical-activity maintenance

Heart Steps：用于维持身体活动的适应性移动健康干预

• 批准号: 9246565
• 负责人: Predrag Klasnja
• 金额: $ 24.92万
• 依托单位: KAISER FOUNDATION HEALTH PLAN OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-12-01 至 2019-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9246565
• 关键词: Adopted; Affect; Algorithms; Behavior; Behavior Therapy; Behavioral; Behavioral Sciences; Car Phone; Cardiac; Cardiac rehabilitation; Characteristics; Collaborations; Computational algorithm; Coronary Arteriosclerosis; Data; Development; Diet; Discipline; Equilibrium; Evaluation; Family; Goals; Grant; Habits; Health; Health Sciences; Heart; Heart Diseases; In Situ; Individual; Informal Social Control; Internet; Intervention; Learning; Life; Life Style; Maintenance; Modeling; Participant; Patients; Pattern; Phase; Physical activity; Pilot Projects; Prevention program; Process; Randomized; Recruitment Activity; Research; Research Design; Research Personnel; Risk; Risk Factors; Secondary Prevention; Smoking; Stress; Suggestion; Symptoms; System; Technology; Testing; Time; Trans Fats; Work; aged; arm; base; behavior change; computer human interaction; computer science; contextual factors; design; efficacy testing; experience; field study; follow-up; good diet; heart disease risk; innovation; insight; mHealth; news; novel; patient oriented; personalized intervention; physical inactivity; programs; public health relevance; response; success; therapy development; time use; tool; usability; user centered design

DESCRIPTION (provided by applicant): Many of the risk factors for heart disease are behavioral, such as physical inactivity, smoking, and diets high in saturated and trans-fats. Cardiac rehabilitation and other secondary prevention programs are effective at helping cardiac patients make the initial lifestyle changes needed to reduce their risks, but patients often fail t maintain those changes after the program ends. In this grant, the investigators propose to develop a novel mHealth application for supporting maintenance of physical activity after cardiac rehabilitation. By taking advantage of the frequent interactions that individuals have with their mobile phones throughout the day, the investigators will design and evaluate an adaptive, personalized application that (1) keeps patients reminded of their health goals, increasing the likelihood that they will notice opportunities to engage in physical activity; (2) provides actionable ideas for how patients can be active right now, given their current context; and (3) helps patients plan and reflect on their physical activity to enable creation of robust and sustainable physical-activity habits. In addition, the application will adapt its functioning for ech patient over time in order to minimize user burden while optimizing its ability to encourage physical activity and maintain engagement with the intervention. A user-centered design process will be used to investigate design requirements of mHealth technologies for long-term use, and the system will be evaluated in a year-long study with 60 patients with coronary artery disease who completed phase II cardiac rehabilitation. Study data will be analyzed to understand how the use of different components affect, over time, patients' physical activity levels, perceived burden, and engagement with the system. The project's innovations lie in grounding the proposed intervention in dual-process models of self-regulation, developing new algorithms to enable adaptation and personalization of how the application works over time, and using a micro-randomization study design to enable causal accounts of how the application use affects patients' physical activity, user burden, and engagement over the course of a year. The success of the project will provide cardiac patients with continuously available support for staying physically active in the midst of daily life, and deep understanding of technical and design requirements for behavior-change mHealth technologies for long-term use.

描述（由申请人提供）：心脏病的许多危险因素都是行为的，例如身体上的不活动，吸烟和饮食中的饱和和反式脂肪。心脏康复和其他二级预防计划有效地帮助心脏病患者进行最初的生活方式改变以降低风险，但患者经常在计划结束后保持这些变化。在这笔赠款中，调查人员建议开发一种新型的MHealth应用程序，以支持心脏康复后维持体育活动。通过利用个人与 调查人员全天他们的手机将设计和评估一种适应性的个性化应用程序，（1）使患者想起他们的健康目标，增加他们会注意到从事体育锻炼的机会的可能性； （2）在当前的情况下，为患者如何活跃提供了可行的想法； （3）帮助患者计划和反思自己的体育活动，以实现健壮和可持续的身体活性习惯。此外，该应用程序会随着时间的流逝而适应ECH患者的功能，以最大程度地减轻用户负担，同时优化其鼓励体育锻炼并保持干预的能力。以用户为中心的设计过程将用于调查MHealth技术的长期使用设计要求，并将在为期一年的研究中对60例冠状动脉疾病患者进行长期研究，并完成了II期心脏康复期。研究数据将进行分析，以了解不同组件的使用如何影响，随着时间的流逝，患者的体育活动水平，感知的负担以及与系统的互动。该项目的创新在于基于自我调节的双过程模型的拟议干预措施，开发新的算法，以使应用程序如何随着时间的推移进行适应和个性化，并使用微型机制研究设计设计，以使应用程序使用如何影响患者的身体活动，用户负担，以及一年的课程。该项目的成功将为心脏患者提供不断获得的支持，以保持在日常生活中保持身体活跃，并对行为改变MHealth技术的技术和设计要求有深刻的了解。